Patients’ experiences of treatment migration from ART triple pill to fixed-dose combination therapy in Ngaka Modiri Molema District, North West Province, South Africa
Bibliographic record
Abstract
Introduction: Migration of people living with human immunodeficiency virus (PLWH) from triple pill therapy to a fixed-dose combination (FDC) was initiated to the public sector of South Africa to help with adherence to treatment as it would reduce the pill burden significantly.PLWH experiences regarding the transition from triple pill therapy to FDC in antiretroviral therapy (ART) remain unknown. Material and methods:This study explores and describes the experiences of PLWH regarding migration from triple pill therapy to FDC.The study was conducted in Community Health Centres (CHC) in Ngaka Modiri Molema District in the North West province, South Africa.A qualitative exploratory descriptive design was used and the target population comprised all PLWH who have been on ART for more than a year on the triple pill and are currently on FDC.A purposive sampling technique was used and the sample size was determined by data saturation (n = 15).Data collection was done using unstructured interviews, using audiotapes and field notes.Data analysis was done using ATLAS.tiand followed the notice-collect-think (NCT) analysis.Results: Results were discussed based on three themes: challenges experienced through the triple pill, factors influencing intake of FDC and other factors that negatively influence the triple pill and FDC intake.Conclusions: These findings provide insight into why patients do not adhere to ART.A focus on treatment education would promote knowledge among patients, increase responsibility, and enhance adherence.Support groups and treatment buddies must be emphasized in the provision of support for clients, even if community health workers can be involved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".